Data Analyst

Posted 10 Days Ago
Be an Early Applicant
México, Ciudad de México
Mid level
Software • Database • Analytics
The Role
The Data Analyst will support the Commodities Gas & LNG Data group, working on data management, analysis, and quality improvement. Main responsibilities include understanding the data landscape, providing analysis and visualization, advocating for data quality, and collaborating with multiple departments to deliver data assets, while mentoring junior colleagues.
Summary Generated by Built In

Wood Mackenzie is the global data and analytics business for the renewables, energy, and natural resources industries. Enhanced by technology. Enriched by human intelligence. In an ever-changing world, companies and governments need reliable and actionable insight to lead the transition to a sustainable future. That’s why we cover the entire supply chain with unparalleled breadth and depth, backed by over 50 years’ experience. Our team of over 2,400 experts, operating across 30 global locations, are enabling customers’ decisions through real-time analytics, consultancy, events and thought leadership. Together, we deliver the insight they need to separate risk from opportunity and make confident decisions when it matters most.

WoodMac.com

Wood Mackenzie Brand Video

Wood Mackenzie Values

  • Inclusive – we succeed together
  • Trusting – we choose to trust each other
  • Customer committed – we put customers at the heart of our decisions
  • Future Focused – we accelerate change
  • Curious – we turn knowledge into action

This role will form part of the Commodities Gas & LNG Data group and will work closely with our Research, Data and Product functions. The Gas & LNG Data team builds, enhances, and maintains the data that underpins Wood Mackenzie’s unique understanding of the energy and natural resources sectors. Data is the key driver behind Wood Mackenzie’s mission to transform the way we power the planet. The successful candidate will be working on challenges around data management, pipelines, analysis, and data quality.

Main Responsibilities

  • Form a strong understanding of the data landscape, domain and workflows for your business area, customers, and products
  • Provide specialist skills in data analysis, visualisation, and data management, delivering new Analytics through connected datasets and integrated pipelines
  • Advocate for quality, take responsibility for the ownership or of data and whilst fulfilling complex data requests on time and with high standards
  • Identify, prioritise, and document opportunities for efficiency, optimisation, migration or improvement in our systems, processes, and datasets
  • Work in an agile, collaborative manner to foster an environment of continuous improvement and incremental delivery, measuring success
  • Core user of Data platform and ensures best practices are applied to utilise or maintain databases, tools, models, and processes solutions from data sourcing to client delivery
  • Collaborate with colleagues in Research, Data, Product and Engineering to deliver Data Assets while supporting junior colleagues
  • Experience in data related roles, demonstrating customer focus and knowledge of core concepts around ingestion, cleansing, and data quality
  • Strong skills in Relational and NoSQL Database systems, with ability to query and analyse data using SQL or other techniques
  • Expert skills in a data visualisation package (such as PowerBI)
  • Worked in areas identifying and applying technology solutions to solve business problems using agile methodologies
  • Excellent communication skills, including mentoring more junior colleagues and managing others’ workloads
  • A keen interest and passion for learning new technologies or data skills like Python, understanding of AWS and APIs is an advantage.

Qualifications

  • Experience in data related roles, demonstrating customer focus and knowledge of core concepts around ingestion, cleansing, and data quality
  • Strong skills in Relational and NoSQL Database systems, with ability to query and analyse data using SQL or other techniques
  • Expert skills in a data visualisation package (such as PowerBI)
  • Worked in areas identifying and applying technology solutions to solve business problems using agile methodologies
  • Excellent communication skills, including mentoring more junior colleagues
  • A keen interest and passion for learning new technologies or data skills like Python, understanding of AWS and APIs is an advantage.

https://youtu.be/Y4AVwhQJj_w?si=lkFH58wflPCw4tKN

Equal Opportunities

We are an equal opportunities employer. This means we are committed to recruiting the best people regardless of their race, colour, religion, age, sex, national origin, disability or protected veteran status. You can find out more about your rights under the law at www.eeoc.gov 

If you are applying for a role and have a physical or mental disability, we will support you with your application or through the hiring process.

Top Skills

Python
SQL
The Company
HQ: London
2,438 Employees
On-site Workplace

What We Do

In the middle of the energy transition, businesses and governments are faced with significant challenges. But the pace and scale of change mean every decision is made under mounting pressure. Now, more than ever, companies need reliable data, analytics and actionable insight.

Wood Mackenzie is the leading global provider of data and analytics solutions for the renewables, energy and natural resources sectors . Wood Mackenzie’s services include data, analytics, insight, events and consultancy. A trusted partner for over 50 years, Wood Mackenzie’s team has over 2,300 experts across more than 30 global locations who cover the entire supply chain. Wood Mackenzie’s data and analytics empowers energy producers, governments and financial institutions to be confident in their investment decisions in the face of rapidly evolving markets. Part of the Veritas group.

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